Exam Details
Subject | advanced development in computre science – digital image processing | |
Paper | paper 3 | |
Exam / Course | ph.d. | |
Department | ||
Organization | solapur university | |
Position | ||
Exam Date | January, 2018 | |
City, State | maharashtra, solapur |
Question Paper
Ph.D. Course Work Examination Jan/Feb-2018
Computer Science Paper III and Paper IV
ADVANCED DEVELOPMENT IN COMPUTRE SCIENCE DIGITAL IMAGE PROCESSING
Day Date: Friday, 19-01-2018
Max. Marks: 100
Time: 11.00 AM to 02.00 PM
Instructions: All questions are compulsory.
Q.1
Explain the fundamental steps of the Digital Image Processing with neat block diagram.
10
Discuss basic relationships between pixels with suitable example.
10
Q.2
Explain the terms:
Histogram equalization
Image enhancement by neighborhood processing
10
10121012 89121412131412 1091012
A 4×4, 4 bits/pixel original image is given by
10
Apply histogram equalization to the image by rounding the image pixel into integers.
Sketch the histograms of the original image and the histogram equalized image.
Q.3
What is image restoration? Explain the classification of image restoration technique?
10
3252 14637924 1468
A 4×4 image is given by
10
Filter this image by using median filter with four neighbor filter mask. Assume the replicate padding
Q.4
0110 10011001 0110 Discuss Haar Wavelet and Daubechies Wavelet. Compute the Haar transform of the following image:
10
What are lossy and lossless compressions? Explain the fundamentals of information theory.
10
Q.5
Write short notes on any two of the following:
20
Thresholding and Region-Based Segmentation
Recognition based on Decision -Theory Methods
Basics of Full-color image processing
Computer Science Paper III and Paper IV
ADVANCED DEVELOPMENT IN COMPUTRE SCIENCE DIGITAL IMAGE PROCESSING
Day Date: Friday, 19-01-2018
Max. Marks: 100
Time: 11.00 AM to 02.00 PM
Instructions: All questions are compulsory.
Q.1
Explain the fundamental steps of the Digital Image Processing with neat block diagram.
10
Discuss basic relationships between pixels with suitable example.
10
Q.2
Explain the terms:
Histogram equalization
Image enhancement by neighborhood processing
10
10121012 89121412131412 1091012
A 4×4, 4 bits/pixel original image is given by
10
Apply histogram equalization to the image by rounding the image pixel into integers.
Sketch the histograms of the original image and the histogram equalized image.
Q.3
What is image restoration? Explain the classification of image restoration technique?
10
3252 14637924 1468
A 4×4 image is given by
10
Filter this image by using median filter with four neighbor filter mask. Assume the replicate padding
Q.4
0110 10011001 0110 Discuss Haar Wavelet and Daubechies Wavelet. Compute the Haar transform of the following image:
10
What are lossy and lossless compressions? Explain the fundamentals of information theory.
10
Q.5
Write short notes on any two of the following:
20
Thresholding and Region-Based Segmentation
Recognition based on Decision -Theory Methods
Basics of Full-color image processing
Other Question Papers
Subjects
- advanced development in computre science – digital image processing
- advanced development in organic chemistry
- advanced development in physics: solar cells and super capacitor
- advanced development in zoology
- architecture of wireless sensor networks
- artificial intelligence (new)
- digital image processing
- modern topics in computer science
- modern topics in electronics (old)
- modern topics in geography (old)
- modern topics in physical chemistry
- modern topics in zoology (old)
- modern trends in drama novel and poetry
- recent advances in electronics (new)
- recent trends in critical theories
- recent trends in economic geography
- recent trends in electronics (old)
- recent trends in geography
- recent trends in organic chemistry
- recent trends in physical chemistry
- recent trends in physics
- recent trends in population geography
- recent trends in zoology (new)